Abstract
The need for supply chains to be resilient is increasingly being recognised, following recent disruptions caused by global socioeconomic crises. Supply chain resilience allows for sustainable growth and development through adaptive capabilities, principally including the ability to effectively respond to disruptions to maintain consistent operations. This paper explores the opportunities presented by Artificial Intelligence (AI) in enhancing supply chain resilience. We first conceptualise resilience through a 4-C model: context, capabilities, choices, and contingencies. We then explore a range of AI approaches and develop a research roadmap that attempts to map particular technologies holding potential to the 4-C model.
Original language | English |
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Pages (from-to) | 813-818 |
Number of pages | 6 |
Journal | IFAC-PapersOnLine |
Volume | 58 |
Issue number | 19 |
Early online date | 9 Oct 2024 |
DOIs | |
Publication status | E-pub ahead of print - 9 Oct 2024 |
Event | 18th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2024) - Vienna, Austria Duration: 28 Aug 2024 → 30 Aug 2024 Conference number: 18 https://www.incom2024.org/ |
Keywords
- artificial intelligence
- explainability
- industry 5.0
- supply chain resilience